Today more than ever before, academia, manufacturers, and hyperscalers acknowledge the major challenge of silent data corruptions (SDCs) and aim on solutions to minimize its …
A Singh, S Chakravarty, G Papadimitriou… - 2023 IEEE 41st VLSI …, 2023 - ieeexplore.ieee.org
Chip manufacturers and hyperscalers are becoming increasingly aware of the problem posed by Silent Data Errors (SDE) and are taking steps to address it. Major computing …
In this paper, we present gem5-MARVEL, the first consolidated microarchitecture-level fault injection infrastructure for heterogeneous System-on-Chip architectures comprising CPUs of …
Silent Data Corruptions (SDCs) pose a significant threat to the integrity of digital systems. These stealthy saboteurs silently corrupt data, remaining undetected by traditional error …
Motion planning is a computationally intensive and well-studied problem in autonomous robots. However, motion planning hardware accelerators (MPA) must be soft-error resilient …
Silent data corruptions (SDCs) pose a significant challenge to the reliable operation of modern microprocessors. As the need for enhanced performance and reliability continues to …
This special session paper introduces the Horizon Europe NEUROPULS project, which targets the development of secure and energy-efficient RISC-V interfaced neuromorphic …
As Neural Processing Units (NPU) or accelerators are increasingly deployed in a variety of applications including safety critical applications such as autonomous vehicle, and medical …
K Joshi, R Singh, T Bassetto, S Adve, D Marinov… - arXiv preprint arXiv …, 2024 - arxiv.org
Instruction-level error injection analyses aim to find instructions where errors often lead to unacceptable outcomes like Silent Data Corruptions (SDCs). These analyses require …